Titlebook: EURO Working Group on DSS; A Tour of the DSS De Jason Papathanasiou,Pascale Zaraté,Jorge Freire de Book 2021 Springer Nature Switzerland AG

冰河期

From Data and Models to Decision Support Systems: Lessons and Advice for the Future,sed to assess and analyze the given decision situation, and on this basis advise the decision-maker. Generally, the DSS development process involves three steps: (1) model development, (2) implementing the model(s) in a DSS, and (3) using the DSS. In this chapter, we focus on two model development a

Itinerant

人造

From Radical Movement to Organizational Mainstream: ABehavioral Economics Perspective on DSS Histor aimed to support all decisions for all managers in an organization while DSS were small-scale systems developed in an evolutionary, exploratory way to support a manager making an important decision. DSS has remained a significant part of managerial and executive work to this day. By 2020, large-sca

責(zé)難

–scent

On the Impact of Big Data Analytics in Decision-Making Processes, concepts of the Internet of Things, which evolved by the digital transformation from Web 2.0 to 4.0, from a people-centric, participative, read-write web to a data-centered, semantic-oriented, and symbiotic web. It connects us at anytime with our conveniences and contacts, feeds our information nee

愛(ài)花花兒憤怒

FLASK

Game-Based Learning and Decision-Making for Urban Sustainability: A Case of System Dynamics Simulatdressing the issue of .. In this context, and more in general about the broad field of sustainability, academic literature specifically emphasizes that . could provide a potentially useful tool. More in detail, several calls for more research point to the use of computer-based learning laboratories—

倔強(qiáng)一點(diǎn)

Advanced Rule-Based Approaches in Customer Satisfaction Analysis: Recent Development and Future Pro including Multiple Criteria Decision Aid (MCDA) techniques. However, most of them are compensatory approaches, based on an additive model that assumes preference independence among customer satisfaction criteria. During the last years, several rule-based methods have been proposed in the customer s

牲畜欄

gangrene

ced analytics and faster, more effective algorithms developed in computational intelligence. The road map for DSS for the 2020s points to digital coaching systems that adapt to the cognitive levels of the users.